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Personal portfolio analysis

Your portfolio,
analyzed with precision

1–6 risk scoring for every asset, geographic exposure map, automatic fundamental analysis. All in one place.

📊
1–6 Risk Scoring
4 dimensions: Market, Fundamental, Size and Liquidity, Official Ratings. Composite score with visible formula and weights.
Section 8
🌍
Geographic Map
Country exposure shown on a D3 choropleth map with color scale proportional to portfolio weight.
Dashboard
📂
Multi-CSV Import
Upload statements from multiple brokers at once. Formats recognized automatically: Fineco, Interactive Brokers, DEGIRO, Trade Republic and more.
Multi-broker
🏷
ETF SRI PRIIPs Analysis
Automatic retrieval of the Summary Risk Indicator from the issuer's KID. Permanent cache, converted to the internal 1–6 scale.
Section 9
🧪
Portfolio Simulator
Build hypothetical scenarios: add assets, set weights and view average risk, expected return and correlation between positions.
Simulation
🔗
Correlation Matrix
5×5 Pearson heatmap, half-yearly evolution on the main pairs, stress test with historical scenarios (Covid, rate crisis).
Advanced
COMMUNITY
This month's best-performing portfolios
1
MR
@marco_rossi
ETF · Tech · 14 assets
+18.4%
2
GB
@giulia_bianchi
Stocks · Energy · 9 assets
+15.1%
3
LF
@luca_ferrari
Mixed · 21 assets
+12.7%
4
SV
@sara_verdi
ETF · Value · 6 assets
+9.8%
5
AC
@andrea_conti
Stocks · Growth · 11 assets
+8.2%
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Scoring, ETF analysis, portfolio simulator and much more
Your portfolio, without the guesswork
Upload your broker statements and every holding gets scored, mapped and explained — with the source of each figure written next to it.
1–6
Risk scoring
Market, fundamental and liquidity risk on every asset. The formula and its weights are on screen, not buried in a methodology page.
8
Portfolio chapters
Positions, correlation, risk, geography, sector, results, price/earnings and forward estimates.
6
Named data sources
Yahoo Finance, EODHD, ESMA, GLEIF, the PRIIPs KID and your own statements. A cell with no data reads as a dash.
24
Functions live today
Every one of them listed publicly — together with the ones that are not finished yet.
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Pick up where you left off. Prices, scores and charts are refreshed against the last close before you land on the dashboard.
Illustration — your own curve loads after sign-in
1–6
Risk scoring
Recomputed on the latest fundamentals every time you open the dashboard.
8
Portfolio chapters
From positions to forward estimates, rebuilt from your real transactions.
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Configure your portfolio
Broker / Bank — select all that you use
Account main currency
EUR €
USD $
GBP £
CHF Fr
Upload transaction CSVs
📂
Drag CSV files here
Each broker generates its own format — upload them all together
Browse files
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← Back
Home
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portfolio value
Capital invested–
Your portfolio
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in portfolio
8 asset classes
–
exited
zero value today
Analyze stocks
1–6 scoring on any stock
4.2/6 high risk
Analyze ETF
SRI PRIIPs → scoring 1–6
2/6 low risk
Simulate portfolio
Hypothetical scenarios
3
asset
2.8
risk
Settings
CurrencyEUR
BrokerIB + Fineco
CSV2 file
Total value
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–
Gain/Loss
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–
Capital invested
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total paid in
Taxes paid
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withheld on realized gains (from CSV)
Positions in portfolio
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Geographic exposure
🌍 mappa D3 choropleth
USA 54.1%
ITA 10.3%
DEU 4.8%
Value by sector · EUR
€57k
€44k
€20k
€15k
€7k
Tech
ETF
Fin.
Ener.
Ass.
Home
–
portfolio value
Capital invested–
Your portfolio
–
in portfolio
8 asset classes
–
exited
zero value today
Analyze stocks
1–6 scoring on any stock
–analyzed now
Analyze ETF
SRI PRIIPs → scoring 1–6
2/6 low risk
Simulate portfolio
Hypothetical scenarios
3
asset
2.8
risk
Settings
CurrencyEUR
BrokerIB + Fineco
← Analyze stocks · result
Analyzing…
Fetching prices, statements and analyst data
← Analyze ETF · result
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Select an ETF from your portfolio
ETF Risk (SRI)
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requires the PRIIPs KID — not published by the price feed
Weighted average P/E
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underlying holdings
TER
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annual cost
AUM
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assets under management
Fund details
Issuer
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Legal type
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Listing exchange
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Fund currency
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Geographic composition
Exposure by country
Sector exposure
Sector composition of the fund
Standard deviation
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annualized volatility
Beta
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3-year, published by the data source
Top holding
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largest single position in the fund
Composition by asset type
Breakdown by the fund's asset class
Price trend
Last 12 months' quotation · Borsa Italiana, EUR
Note
← Your portfolio · single asset risk · Section 8
AAPL Apple Inc. NASDAQ · USD
⚠ Stock in USD, portfolio in EUR — exchange rate 1.0842, strength: average (±2% over 52 weeks)
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Risk score
4.20/6
Moderate
Price / Earnings
P/E (Net Income)–
P/EBITDA–
P/Revenue–
Revenue by geography
Americas 42%
Europe 24%
Greater China 17%
Rest of Asia Pacific 10%
Japan 7%
Business segment
iPhone 52%
Services 22%
Wearables and Accessories 11%
Mac 8%
iPad 7%
The 5 risk dimensions
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out of 6
Loading…
Weights across the 3 weighted sections: Fundamental 50%, Market 35%, Size 15%. Official Ratings and Price/Earnings are informational modules, excluded from the weighted score. When an indicator has no data, its weight is redistributed proportionally over the available ones — a missing value never counts as zero risk.
01
Chapter 01
Market Risk
Volatility and market sensitivity
02
Chapter 02
Fundamental Risk
Balance sheet strength and debt sustainability
03
Chapter 03
Size and Liquidity Risk
Ease of entering/exiting the position without moving the price
04
Chapter 04
Official Ratings
Credit agencies + equity ratings — informational module, excluded from the weighted score
05
Chapter 05
Price / Earnings
Relative valuation — score 3.00/6 · Moderate · informational module, excluded from the weighted score
P/E vs Tech sector average
+10%
score 2/6
P/E vs S&P 500
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trailing P/E, vs SPY proxy
P/E vs own historical average
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loading…
← Simulate portfolio · saved scenarios
Your simulations
History of saved hypothetical scenarios, most recent first
← Simulate portfolio · new scenario
Create new simulation
Build a hypothetical scenario: add assets, set weights and view average risk, expected return and correlation between positions.
Scenario name
Amount to invest
Add asset
Click to add or remove from the scenario
Results
Updated in real time
← Your portfolio · allocation logic
01
Chapter 01
Risk-seeking
The risk drivers behind every allocation choice
Real value of positions
Current market value for each position in the portfolio
Risk per position
02
Chapter 02
Safety-seeking
How well allocations hold up over time and through market cycles
Real value of positions
Current market value for each position in the portfolio
Risk per position
03
Chapter 03
Harmonization
How risk and stability come together in a single coherent logic
Breakdown by allocation logic
Risk-seeking vs Safety-seeking, by portfolio value
Weight % per asset, grouped by logic and sorted descending
Stats by logic
Average risk and P/E weighted by value, for each of the two logics
Stats — portfolio total
Same metrics, weighted by value across all Risk + Safety positions combined
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← Simulation — new · started
Scenario
Outcome of the simulation on the hypothetical scenario built
Safety-seeking
Risk-seeking
ISINAssetTypeSharesExchangePriceCapital investedWeight %RiskLogic profileP/E
Shares calculated from the capital invested in the scenario (fixed, split by weight %) divided by the stock's real current price.
Risk per position
Risk score (1–6), descending order
P/E per position
Price/earnings ratio, descending order
Geographic exposure
Aggregated on the capital invested in the scenario, descending order
Sector exposure
Aggregated on the capital invested in the scenario, descending order
Breakdown by allocation logic
Weight % per asset, grouped by logic and sorted descending
Correlation matrix (Pearson) — 1 month
Pearson coefficients between the scenario's positions, 1-month window
Correlation matrix (Pearson) — 6 months
6-month window
Correlation in a crash scenario
Stress test on a market crash scenario
08
Forward estimates
Scenario projections
Expected targets on the capital invested in this scenario
Weighted expected value — 1 month
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Weighted expected value — 6 months
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Weighted expected value — 12 months
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Weighted volatility — monthly
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Expected standard deviation of monthly returns, weighted by each position's weight in the scenario.
Weighted volatility — annual
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Annualized volatility (monthly × √12), weighted by each position's weight in the scenario.
← Analyze stocks · history
Analysis history
Saved stock analyses, most recent first. Each row is a snapshot: the figures are the ones shown when you saved it, not recalculated today.
← Analyze ETF · history
ETF analysis history
Saved ETF analyses, most recent first
← Home · sector research
Sector research
One sector, one report, every week